def get_dfcfw_fund_flow(url):
data=sl.get_url_data(url)
# vollist=re.findall('{data:(\d+)',code)
vol_l=re.findall('\"([\d\D]+?)\"',data)
dd={}
if len(vol_l)==2:
data=vol_l[0].split(',')
dd['zlr']=data[0]
dd['zzb']=data[1]
dd['sjlr']=data[2]
dd['sjzb']=data[3]
dd['time']=vol_l[1]
return dd
def get_sina_tick_js_LastPrice(symbols):
symbols_list=''
if len(symbols) == 0:
return ''
if isinstance(symbols, list) or isinstance(symbols, set) or isinstance(symbols, tuple) or isinstance(symbols, pd.Series):
for code in symbols:
symbols_list += _code_to_symbol(code) + ','
else:
symbols_list = _code_to_symbol(symbols)
# print symbol_str
url="http://hq.sinajs.cn/list=%s"%(symbols_list)
# print url
data=sl.get_url_data(url)
# vollist=re.findall('{data:(\d+)',code)
# print data
ulist=data.split(";")
price_dict={}
for var in range(0,len(ulist)-1):
# print var
if len(ulist)==2:
code=symbols
else:
code=symbols[var]
tempData = re.search('''(")(.+)(")''', ulist[var]).group(2)
stockInfo = tempData.split(",")
# stockName = stockInfo[0] #名称
# stockStart = stockInfo[1] #开盘
stockLastEnd= stockInfo[2] #昨收盘
# stockCur = stockInfo[3] #当前
# stockMax = stockInfo[4] #最高
# stockMin = stockInfo[5] #最低
# price_dict[code]=stockLastEnd
price_dict[code]=float(stockLastEnd)
# stockUp = round(float(stockCur) - float(stockLastEnd), 2)
# stockRange = round(float(stockUp) / float(stockLastEnd), 4) * 100
# stockVolume = round(float(stockInfo[8]) / (100 * 10000), 2)
# stockMoney = round(float(stockInfo[9]) / (100000000), 2)
# stockTime = stockInfo[31]
# dd={}
return price_dict
